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Exact evaluation results demonstrate that these formulas perform well.
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MM designed the study, collected the data, developed the formulas, performed the analyses and wrote the first draft of the manuscript.
Formulas perform set operations on cell contents.
Our above results show that both the Horiuchi-Coale and Mitra formulas perform well in reducing life expectancy estimation errors caused by aggregating data for the open age interval.
However, at high creatinine levels, there is less variation and estimation formulas perform better, which means that errors associated with risk estimates for eGFR <30 mL/min/1.73 m are likely to be minimal.
Comparisons indicated that the suggested formulas performed better than other empirical methods not requiring wind and/or humidity data for the majority of humid locations.
Formulas performed much worse than other methods.
Both formulas performed very poorly with significant overestimation of weight.
Age formulas performed less well in older children.
Comments: While the bias of the Luscombe formula was smaller, both formulas performed poorly.
Comments: Study population BMI was 17. Same population as Nguyen 2007 and several other publications; all formulas performed poorly.
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